{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:04:17Z","timestamp":1767650657822,"version":"3.48.0"},"reference-count":67,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2025,2,2]],"date-time":"2025-02-02T00:00:00Z","timestamp":1738454400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,2,2]],"date-time":"2025-02-02T00:00:00Z","timestamp":1738454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Integrated Computer-Aided Engineering"],"published-print":{"date-parts":[[2025,5]]},"abstract":"<jats:p>\n                    \n                    \n                    Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness and accuracy, potentially negatively impacting readers\u2019 critical judgment due to disinformation. This work aims to contribute to the automatic data quality validation field, addressing the rapid growth of online content on wiki pages. Our scalable solution includes stream-based data processing with feature engineering, feature analysis and selection, stream-based classification, and real-time explanation of prediction outcomes. The explainability dashboard is designed for the general public, who may need more specialized knowledge to interpret the model\u2019s prediction. Experimental results on two datasets attain approximately 90% values across all evaluation metrics, demonstrating robust and competitive performance compared to works in the literature. In summary, the system assists editors by reducing their effort and time in detecting disinformation.\n                  <\/jats:p>","DOI":"10.1177\/10692509241306580","type":"journal-article","created":{"date-parts":[[2025,2,2]],"date-time":"2025-02-02T22:18:06Z","timestamp":1738534686000},"page":"126-142","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification and explanation of disinformation in Wiki data streams"],"prefix":"10.1177","volume":"32","author":[{"given":"Francisco de","family":"Arriba-P\u00e9rez","sequence":"first","affiliation":[{"name":"Information Technologies Group, atlanTTic, University of Vigo,<?pag \\break?> Vigo, Spain"}]},{"given":"Silvia","family":"Garc\u00eda-M\u00e9ndez","sequence":"additional","affiliation":[{"name":"Information Technologies Group, atlanTTic, University of Vigo,<?pag \\break?> Vigo, Spain"}]},{"given":"F\u00e1tima","family":"Leal","sequence":"additional","affiliation":[{"name":"Research on Economics, Management and Information Technologies, Universidade Portucalense, Portugal"}]},{"given":"Benedita","family":"Malheiro","sequence":"additional","affiliation":[{"name":"INESC TEC, Portugal"},{"name":"Polytechnic of Porto, Portugal"}]},{"given":"Juan C","family":"Burguillo","sequence":"additional","affiliation":[{"name":"Information Technologies Group, atlanTTic, University of Vigo,<?pag \\break?> Vigo, Spain"}]}],"member":"179","published-online":{"date-parts":[[2025,2,2]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s42001-021-00118-8"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-210669"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-230720"},{"key":"e_1_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Gurrapu S Huang L Batarseh FA. ExClaim: Explainable Neural Claim Verification Using Rationalization. In: Proceedings of the IEEE annual software technology conference 2022 pp.19\u201326. IEEE https\/\/doi:org\/10.1109\/STC55697.2022.00012.","DOI":"10.1109\/STC55697.2022.00012"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1080\/23808985.2024.2323736"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102739"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3395046"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-190604"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00454"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2022.102616"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3546917"},{"key":"e_1_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Toreini E Aitken M Coopamootoo K et\u00a0al. 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